ASU Center for Assured and Scalable Data Engineering (CASCADE)

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CASCADE Workshop/Retreat on Big Data Challenges, Techniques, and Applications

Research Partners

JCI JCI is a partner in NSF Grant #1339835
EarlyWarning EarlyWarning is a partner in NSF Grant #1430144
Centurylink CenturyLink provides computation power for NSF Grants #1318788 and #1518939
Siemens Siemens is a partner in NSF Grant #1239093
Mayo and CASCADE partners in an NVIDIA GPU Research Center
RAI RAI is a partner of a UNITO/RAI-CRIT research agreement

 

Support for CASCADE comes from ASU OKED, Fulton Schools of Engineering, and CIDSE. CASCADE is also supported partially by NSF-IIP Grant #1464579.

 

We invite you to join us for the CASCADE Workshop/Retreat on Big Data Challenges, Techniques, and Applications.

When: Friday, April 26th 2019

Where: 699 S. Mill Ave. #510 (Brickyard Building),  Tempe, AZ 85281

The day will include invited sessions by academic and industrial partners, presentation sessions of ongoing federally funded work, poster sessions by students and post-docs, and break-out planning sessions for helping developing small, medium, or large scale and strategic proposals. The event  will be a great opportunity to network with colleagues in ASU's and NMSU's Big Data, Data Science, and Data Engineering communities. 

Agenda:

8:30 - 9:00 a.m.

Light Breakfast

BYENG 510

9:00 - 9:30 a.m.

Welcome and Introductions

  • 15 mins overview of Big Data @ CASCADE/ASU

  • 15 mins overview of Big Data @ NMSU

BYENG 510

9:30 - 9:50 a.m.

Big Data and Weather

David DuBoise, Environmental Sciences, New Mexico State University

BYENG 510

9:50 - 10:10 a.m.

Big Data and Smart Grids

Huiping Cao, Computer Science, New Mexico State University.

BYENG 510

10:10 - 10:30 a.m.

Big Data and High Performance Computing

Ming Zhao, CIDSE-CASCADE, Arizona State University

BYENG 510

10:30 - 10:40 a.m.

BREAK

 

10:40 - 11:00 a.m.

Big Data and Causal Analytics

Huan Liu, CIDSE-CASCADE, Arizona State University

BYENG 510

11:00 - 11:20 a.m.

Big Data and Risk Analytics

Petar Jevtic, School of Mathematical and Statistical Sciences, Arizona State University

BYENG 510

11:20 - 11:40 a.m.

Big Data and BioDiversity

Leah Gerber,  Center for Biodiversity Outcomes, Arizona State University

BYENG 510

11:40 - 12:00 a.m.

Big Data and Brain Health

Brian Appavu,  Phoenix Children’s Hospital

BYENG 510

12:00 a.m.- 1:30p.m.

Working Lunch/Poster Session

Poster presenters:

Hamidreza Damavandi, Data-driven Tools to Emulate the Coupled Hydrological-Hydrodynamic Models

Jin Wen, Data-driven Whole Building Fault Detection and Diagnosis

Brian Appavu, Intracranial Electroencephalography after Pediatric Traumatic Brain Injury

Lu Cheng, XBully: Cyberbullying Detection within a Multi-Modal Context

Ruocheng Guo, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects

Zhikang Zhang, APRAN: A Scalable Laplacian Pyramid Reconstructive Adversarial Network for Flexible Compressive Sensing Reconstruction

Yitao Chen, Exploring the Use of Synthetic Gradients for Distributed Deep Learning Across Cloud and Edge Resources

Saman Biookaghazadeh, FPGA-Based Heterogeneous Computing for Data-Intensive Applications

Hans Behrens, DataStorm-FE: A Data- and Decision-Flow and Coordination Engine for Coupled Simulation Ensembles

Yash Garg, Leveraging Image Features for Deep Network Architecture Search

Brian Gmyrek, GPS Insights

Allen Lee, Discoverable, Accessible, Documented, Reusable, and Interoperable: the Imperative to Publish Code in Modern Science

Yuhan Sun, Demonstrating Spindra: A Geospatial Knowledge Graph Management System

Vamsi Meduri, Recurrent Neural Networks for Dynamic User Intent Prediction in Human-Database Interaction

Qixu Gong, Skyline Queries Constrained by Multi-Cost Transportation Networks

Edgar Ceh-Varela, Multi-criteria Package Recommendations for a Group of Users

Aditi Kulkarni, The Landscape of Metagenomes in Wild Populations of Anopheles gambiae, An. sinensis, Aedes albopictus and Ae. aegypti

Giulia Pedrialli, Subspace COmmunication based OPtimization (SCOOP)

Josue Gutierrez, Classifying Video Imagery From Weather Station Cameras

Manjusha Ravindranath, Decision Making Machines

Yezhou Yang, TBD

Mohammad Farhadi TBD

BYAC LOBBY

1:30 -2:00 p.m.

Lightning Talks

Hamidreza Ghasemi Damavandi, Data-driven Tools to Emulate the Coupled Hydrological-Hydrodynamic Models

Allen Lee, CoMSES Net: Promoting accessibility, transparency, reusability, and interoperability for computational modeling in the social & ecological sciences

Dragan Boscovic, Tokenization of physical assets and the impact of Data Engiennering (IoT, BigData, ML/AI)

Giulia Pedrielli, Data Enabled Models for Improved Understanding and Control of Large Scale Dynamical Systems

Parth Nagarkar, Challenges in Efficient Processing of Heterogeneous Images

BYENG 510

2:00 - 2:20 p.m.

Big Data and Complex System Modelling

K. Selcuk Candan, CIDSE-CASCADE, Arizona State University

BYENG 510

2:20 - 2:40 p.m.

Big Data and Microbiome

Aditi Kulkarni, Biology, New Mexico State University

BYENG 510

2:40 - 3:00 p.m.

Big Data and Building Energy

Jin Wen, Department of Civil, Architectural, and Environmental Engineering, Drexel University

BYENG 510

3:00 - 3:15pm

BREAK

 

3:15 - 4:00 p.m.

Collaboration Opportunities - 5min pitches  

Beckett Sterner

Brian Appavu

Petar Javtic

Huan Liu

K. Selcuk Candan

Hamidreza Ghasemi Damavandi

Giulia Pedrielli

BYENG 510

4:00 - 4:30 p.m.

Breakout Sessions

BYENG TBD

This event is supported by

  • ASU's Center for Assured and Scalable Data Engineering (CASCADE)

and NSF Awards

  • #1633381,"BIGDATA: Discovering Context-Sensitive Impact in Complex Systems'', 
  • #1610282, "DataStorm: A Data Enabled System for End-to-End Disaster Planning and Response'',
  • #1629888, "GEARS - An Infrastructure for Energy-Efficient Big Data Research on Heterogeneous and Dynamic Data"

 

 

 

Support for CASCADE comes from ASU OKED, Fulton Schools of Engineering, and CIDSE. CASCADE is also supported partially by NSF-IIP Grant #1464579.